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Article:The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model

by Sakonthawat Inban, Nopadol Uchaipichat, Nitikarn Nimsuk
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 8
Year of Publication: 2010
Authors: Sakonthawat Inban, Nopadol Uchaipichat, Nitikarn Nimsuk
10.5120/1701-2230

Sakonthawat Inban, Nopadol Uchaipichat, Nitikarn Nimsuk . Article:The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model. International Journal of Computer Applications. 12, 8 ( December 2010), 6-9. DOI=10.5120/1701-2230

@article{ 10.5120/1701-2230,
author = { Sakonthawat Inban, Nopadol Uchaipichat, Nitikarn Nimsuk },
title = { Article:The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 8 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number8/1701-2230/ },
doi = { 10.5120/1701-2230 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:06.118071+05:30
%A Sakonthawat Inban
%A Nopadol Uchaipichat
%A Nitikarn Nimsuk
%T Article:The Development of Undistortion Digital Image Application using Backpropogation Neural Network Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 8
%P 6-9
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper reports our study in digital image geometrical distortion correction. The Artificial Neural Network (ANN) was employed to correct the distorted digital image which is simulated in computer. The ANN was trained to map the distorted points to the distortion-free points. As the results, our proposed technique can correct the detected distort-points with 1.7196x10-4 ±1.3027±10-2 pixel of mean square error along the x axis and 1.5281x10-4±1.2439±10-2 pixel of mean square error along the y axis.

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Index Terms

Computer Science
Information Sciences

Keywords

Geometrical Distortion Artificial Neural Network Undistortion